This paper proposes a frequency-based least squares algorithm applied to the estimation of multifrequency signal parameters. It is based on the processing of the joint information carried by nearby frequency components of Fourier-transformed data. Theoretical and simulated analysis are carried out on the algorithm accuracy while its performance is compared to the corresponding Cramer-Rao lower bound.
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Carbone et al. (2000) studied this question.
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